Earlier methods for anomaly detection in time-series have mostly employed traditional machine learning [1]}, [2]} and auto-regressive [3]}, [4]} techniques. However, as discussed in [5]}, these approaches are mainly subject to the curse of dimensionality. In other words, their performance drops in the presence of high-dimensional time-series.
